Noise predictive belief propagation

Mustafa N. Kaynak, Tolga M. Duman, Erozan M. Kurtas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We introduce iterative noise whitening for belief propagation (BP) based channel detectors over inter-symbol interference (ISI) channels with correlated noise. Called noise predictive belief propagation (NPBP), the new scheme iteratively whitens the noise samples by modifying the edge probability computation of the BP algorithm. NPBP detectors based on finite impulse response (FIR) and infinite impulse response (IIR) prediction filters are introduced. In addition, we propose a novel prediction filter optimization method leading to a better noise whitening performance. Simulation results for both coded and uncoded systems and comparisons with maximum a posteriori (MAP) and BP detectors show that, significant improvements can be obtained.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Communications
Pages704-708
Number of pages5
Volume1
StatePublished - 2005
Event2005 IEEE International Conference on Communications, ICC 2005 - Seoul, Korea, Republic of
Duration: May 16 2005May 20 2005

Other

Other2005 IEEE International Conference on Communications, ICC 2005
CountryKorea, Republic of
CitySeoul
Period5/16/055/20/05

ASJC Scopus subject areas

  • Media Technology

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  • Cite this

    Kaynak, M. N., Duman, T. M., & Kurtas, E. M. (2005). Noise predictive belief propagation. In IEEE International Conference on Communications (Vol. 1, pp. 704-708). [CT16-1]